What is a ChatGPT visibility audit?

A ChatGPT visibility audit tests whether your business is named when real buyers ask ChatGPT for recommendations in your category. It runs the same queries your customers run, captures the verbatim responses, and scores how often you appear versus competitors.

How do I check if my business shows up when buyers ask ChatGPT for recommendations?

Run a free audit at askedaudits.com - pick your business from Google, and we fire four real buyer-intent queries at gpt-4o and return the verbatim answers, who got named instead of you, and a 0-100 visibility score in under 60 seconds.

What is GEO (Generative Engine Optimization)?

Generative Engine Optimization (GEO) is the discipline of getting cited by AI systems that synthesise answers - ChatGPT, Perplexity, Claude, Gemini, Bing Copilot. It is the AI-search equivalent of SEO, with different ranking inputs (schema, citations, Wikidata, reviews, authority sources).

How is GEO different from SEO?

SEO optimises for ranked blue links on Google. GEO optimises to be named in the AI-generated paragraph that increasingly replaces those links. The fundamentals overlap (schema, citations, reviews) but GEO weights Bing, Wikidata, Reddit, and editorial authority far more heavily than classic SEO.

How long does it take to rank on ChatGPT?

ChatGPT Browse (live retrieval via Bing) reflects new schema, Bing Places and citation work within days. Training-data inclusion takes one full model refresh cycle (months). Our 14-day playbook is engineered to move the live-retrieval surfaces first - score movement is typically visible within two weeks.

What Is Generative Engine Optimization (GEO)?

Name: Asked AI Visibility Audit
Brand: Asked
Availability: InStock

GEO is the term coined for ranking in answer engines like ChatGPT, Perplexity, Claude, Gemini and Bing Copilot. Here's what it actually means, how it differs from SEO, and what to do about it.

Generative Engine Optimization (GEO) is the practice of getting your business, product or content cited by generative AI systems like ChatGPT, Perplexity, Claude, Google Gemini and Microsoft Copilot. It is to AI answers what SEO is to Google search results.

GEO is also sometimes called Answer Engine Optimization (AEO), LLM SEO, AI SEO, or ChatGPT SEO. They all describe the same underlying discipline. The term GEO has the most academic traction (it was popularised in a 2023 paper from Princeton, Georgia Tech and Allen Institute for AI).

GEO vs. classic SEO - what's actually different

Classic SEO optimises for ten blue links on a search engine results page. The user clicks a link and lands on your site.

GEO optimises for citation inside a synthesised answer. The AI assistant reads many sources, blends them, and returns a paragraph. Your goal isn't a link - it's being named in the paragraph, or at minimum cited as a source.

This changes the playbook in three concrete ways.

1. Authority signals beat keyword density

Stuffing a page with the target keyword used to move the needle on Google. In GEO, it does the opposite - LLMs are trained to detect keyword stuffing and discount the source. What matters is whether your brand is cited across many high-trust contexts: news articles, Wikipedia, Wikidata, trade publications, podcast transcripts, Reddit threads with high karma, YouTube auto-captions, and structured data.

Optimising for one engine doesn't necessarily move the others. GEO is a multi-platform discipline.

3. Structured data + entity links matter more

LLMs love structured data because it's unambiguous. A Wikidata entry with `instance of: business`, `country: UK`, `service: plumber` is far more useful to an LLM than a paragraph of marketing copy. The `sameAs` property in your LocalBusiness JSON-LD - linking to your Wikidata, Crunchbase, LinkedIn, Google Maps and social profiles - is the single most under-used schema field for GEO.

The GEO checklist

Bing Places listing (powers ChatGPT Browse + Copilot)
Bing Webmaster Tools verification + sitemap submission
LocalBusiness JSON-LD with complete `sameAs` array
Organization, BreadcrumbList, HowTo, FAQPage schema where applicable
Wikidata entry with `instance of` + `industry` + `country` properties
OpenStreetMap business listing
Wayback Machine snapshots of key pages
Reddit presence in trade subreddits (build karma for 4 weeks first)
Podcast appearances (transcripts = training data)
News mentions via HARO/Qwoted (one news cite = 50 directory cites)
Reviews on Google and Trustpilot (cited by Perplexity, Copilot)
Weekly verification by running the same prompts across all 5 major AI engines

How to measure GEO

There is no "GEO ranking dashboard" from the platforms themselves. You measure GEO by running prompts and logging what you get.

The standard method: pick 10 prompts a real customer would type (a mix of discovery, comparison, buyer-intent and direct queries about your brand). Run them weekly in ChatGPT, Perplexity, Claude, Gemini and Bing Copilot. Log named/not-named, position, and citation sources for each. Track the curve over 12 weeks.

That's exactly what the Asked LLM Test Lab sheet does. You can also run a free 60-second audit at askedaudits.com that scores your current visibility on one of the five engines.

Is GEO the future or a fad?

Generative engines already account for a meaningful share of search-style queries in 2026 and are growing. The question is whether a separate term - GEO, AEO, LLM SEO - will survive, or whether the discipline will fold back into "SEO" the way mobile SEO did.

Practically, it doesn't matter. The work is the same: structured data, entity links, citations across high-trust sources, real reviews, and verifiable measurement. Whatever you call it, this is what gets your business into AI answers.